Chia-Fen Chi

1.8k citations
52 papers · 1.3k · h-index 19

Impact in

Papers in

Chia-Fen Chi

51 papers receiving 1.3k citations

Peers

Chia-Fen Chi
Comparison fields: 5 of 121
  • Radiological and Ultrasound Technology 673
  • Medical Laboratory Technology 169
  • Statistics, Probability and Uncertainty 437
  • Safety, Risk, Reliability and Quality 204
  • Social Psychology 388
Replace Sang D. Choi with:
Sang D. Choi United States
Scott N. MacKinnon Canada
Don Harris United Kingdom
Gemma J. M. Read Australia
Amotz Perlman United States
Byungjoo Choi South Korea
Tim Horberry Australia
Laura Rafferty United Kingdom
Tonya L. Smith‐Jackson United States
Najmedin Meshkati United States
Chia-Fen Chi relative to Sang D. Choi United States Sang D. Choi's profile →
Citations per field
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Sang D. Choi · 1×
Citations per year

Countries citing papers authored by Chia-Fen Chi

Since Specialization
Citations

This map shows the geographic impact of Chia-Fen Chi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chia-Fen Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Fen Chi more than expected).

Fields of papers citing papers by Chia-Fen Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Fen Chi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chia-Fen Chi. The network helps show where Chia-Fen Chi may publish in the future.

Co-authors

The 20 scholars most cited alongside Chia-Fen Chi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chia-Fen Chi Line = papers co-authored together Chia-Fen Chi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005330
2 2008124
3 199891
4 199766
5 200156
6 201455
7 200447
8 202043
9 200640
10 201237
11 201036
12 200336
13 201333
14 200630
15 199529
16 200323
17 201121
18 201820
19 199919
20 199716

About Chia-Fen Chi

Chia-Fen Chi is a scholar working on Social Psychology, Radiological and Ultrasound Technology, Human-Computer Interaction, Statistics, Probability and Uncertainty and Cognitive Neuroscience, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Occupational Health and Safety Research (15 papers), Safety Warnings and Signage (11 papers), Risk and Safety Analysis (9 papers), Traffic and Road Safety (7 papers), Color perception and design (6 papers), Tactile and Sensory Interactions (6 papers), Ergonomics and Musculoskeletal Disorders (6 papers) and Human-Automation Interaction and Safety (4 papers). The work is most often cited by research in Radiological and Ultrasound Technology (673 citations), Medical Laboratory Technology (169 citations), Statistics, Probability and Uncertainty (437 citations), Safety, Risk, Reliability and Quality (204 citations) and Social Psychology (388 citations). Chia-Fen Chi has collaborated with scholars based in Taiwan, Indonesia and United States. Frequent co-authors include Ratna Sari Dewi, Dengchuan Cai, Manlai You, Yuh-Chuan Shih, Colin G. Drury, Yuh Jang, Wen-Lin Chen, Jau‐Yih Tsauo, Jung‐Der Wang and Wenlin Chen. Their work appears in journals such as International Journal of Industrial Ergonomics, Applied Ergonomics, Ergonomics, Safety Science and Human Factors The Journal of the Human Factors and Ergonomics Society.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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